NinjaCat MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NinjaCat as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to NinjaCat. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in NinjaCat?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About NinjaCat MCP Server
Connect your NinjaCat agency account to your AI agent and streamline your marketing reporting and advertiser management through natural conversation.
LlamaIndex agents combine NinjaCat tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Advertiser Management — List all advertisers managed in your agency and retrieve detailed profiles and account information.
- Report Oversight — Access agency reports, monitor their execution history, and get direct download URLs for the latest generated files.
- Data Source Tracking — List all marketing platforms and connected data accounts (e.g., Google Ads, Facebook Ads) to monitor your ecosystem.
- Campaign Monitoring — View active marketing campaigns across the agency to stay on top of performance.
- Agency Insights — Retrieve high-level information and settings for your NinjaCat agency and current user profile.
- Deep Inspection — Fetch complete metadata for specific advertisers or reports using their unique IDs.
The NinjaCat MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NinjaCat to LlamaIndex via MCP
Follow these steps to integrate the NinjaCat MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from NinjaCat
Why Use LlamaIndex with the NinjaCat MCP Server
LlamaIndex provides unique advantages when paired with NinjaCat through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NinjaCat tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NinjaCat tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NinjaCat, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NinjaCat tools were called, what data was returned, and how it influenced the final answer
NinjaCat + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NinjaCat MCP Server delivers measurable value.
Hybrid search: combine NinjaCat real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NinjaCat to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NinjaCat for fresh data
Analytical workflows: chain NinjaCat queries with LlamaIndex's data connectors to build multi-source analytical reports
NinjaCat MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect NinjaCat to LlamaIndex via MCP:
get_advertiser
Get specific advertiser details
get_agency_info
Get agency metadata
get_me
Get current user details
get_report_download_url
Get report download URL
get_report_history
Get report execution history
list_advertisers
List all advertisers
list_agency_campaigns
List agency marketing campaigns
list_data_accounts
g. specific Google Ads accounts). List connected data accounts
list_data_sources
List active data sources
list_reports
List all agency reports
Example Prompts for NinjaCat in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NinjaCat immediately.
"List all active advertisers in my NinjaCat agency."
"Show me the execution history for the 'Monthly Performance' report."
"Which marketing data sources are currently connected?"
Troubleshooting NinjaCat MCP Server with LlamaIndex
Common issues when connecting NinjaCat to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNinjaCat + LlamaIndex FAQ
Common questions about integrating NinjaCat MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect NinjaCat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NinjaCat to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.